Happy New Year 2016, folks!!
As 2016 sets in, the Analytics domain is in the limelight and Data Scientists are in huge demand. The maturity levels of the market has increased and the emergence of set processes and structured teams has become the norm.
In the Data Science world, the buzz word remains BigData and any Analytics professional worth his salt is keen to understand this domain. I am putting down 3 key points that I have understood.
1. BigData is all around us: – Earlier all documents, images and video / audio files generated in business were stored in physical form in storage units … boxes, vaults etc. Today, most of it is digitized and stored. All government records, business data, application forms with photo and customer / employee documentation, security camera footage … everything is being digitized for easier storage and fast access.
Happy New Year 2016, folks!!
Do you know why you like and do well in a job? Why do you stick to some jobs and companies?
Do you believe that it is karma or destiny? Or do you believe in any complicated theory of psychometrics – the science of measuring mental capacities and processes.
I’d like to believe that there is a mathematical correlation between skills, psychological profiles, experience and education as a composite which decides how satisfied and happy and employee is. To figure out the calculations I’ve devised a survey, to collect data and pierce together the relationships.
It would be great if you could take out 20 min. of your time to fill out this questionnaire developed to gather data for the study. The link is :- http://indiadecisionmanagement.com/consulting/analytics-and-strategy/hr-analytic-study-factors-that-affect-job-satisfaction-in-todays-world/
(Note :- Do pass this on to your friends and colleagues – the more data we get, the more robust will be the analysis.)
I follow the DCOVA process for projects in analytics. DCOVA is an acronym for define, collect, organise, visualize and analyse .This sequence allows me to structure and focus on all aspects of the project. It also allows me to build a story board – which is the “in thing” in management circles now.
I was reading an article on the information management.com website (http://www.information-management.com/ ) by Yves de Montcheuil who is the vice president of marketing at Talend (https://www.talend.com/ ). He wrote about how there will be a convergence of the domain of data and soon we will ignore the current separations within the domain of data management and analytics. We will move to looking at data as one composite whole. We’ll soon get into the habit of not looking at data as BigData versus transactional data. Our enterprise data warehousing systems are going to become good enough to be able to work on data from all sources and of all types.
We’re here today to talk about the Magic quadrant for business intelligence and analytics platforms, which is published annually by Gartner.
We hope to answer questions like –
- Is SAS the best software in Analytics ?
- What is the standing of Microsoft when it comes to Analytics (Excel , Access , SQL)
- How good is Tableau in the eyes of the Analytics world?
(What is Gartner? Gartner is the world’s leading IT research and advisory company which delivers technology related insights from CIOs and senior IT leaders in corporations to the general public .All of us use Gartner and its reports to come to conclusions about the various software suites we would like to buy.)